Product analytics
You don't need a data team to know what's working.
Product analytics used to mean event taxonomies and a BI layer. Free product analytics today can tell you which features get used and which visitors convert — from behavior, without the cleanse.
The field
Free product analytics options
Each approach has a different setup cost and a different depth.
| Option | Setup | What you learn |
|---|---|---|
| Mixpanel/Amplitude free | Event taxonomy required | Funnels and cohorts — then quota limits |
| GA4 | Events & audiences config | Volume reporting, consent overhead |
| PostHog | Self-host or cloud | Flags + analytics, operations trade-off |
| Tradly Memory (free to start) | One script, no taxonomy | Engagement, funnels, intent, memory |
The method
Product decisions from behavior
The highest-signal product questions are behavioral: are visitors using the core features, do they return, and do they convert? Behavior-based product analytics answers those without demanding a strict event plan up front.
Engagement is a journey, not a count
Which paths lead to activation, which features keep people coming back, and where the ready-to-convert visitors stall — that's the product story page-view counts can't tell.
Intent carries to product
The same per-visitor intent that drives marketing powers product: prioritize what engages, fix what stalls, and personalize what you show next.
Learn what to build next from what users do
Free to start: behavior-based product analytics with funnels, intent, and memory — no taxonomy cleanse.
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